We want to deploy a local open source LLM for drafting internal HR policies but our IT guy says we need new hardware what are our lightweight configuration options
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We want to deploy a local open source LLM for drafting internal HR policies but our IT guy says we need new hardware what are our lightweight configuration options
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
Ollama hardware requirements model memory quantization Q4_K_M 7B 8B local deployment documentation 2026 Google ↗
official model cards Llama 3.2 3B Qwen2.5 7B Phi-4-mini Mistral NeMo 12B license context Google ↗
- How Much VRAM for a 7B, 14B, 20B or 32B Model? Measured · arynwood.com
- Ollama hardware requirements: RAM, VRAM and CPU sizing · lumadock.com
- Qwen · qwen.ai
- llama-models/models/llama3_2/MODEL_CARD.md at main · meta-llama/llama-models · github.com
- Official website · ollama.com
- Official website · openwebui.com
- Official website · anythingllm.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Ollama hardware requirements model memory quantization Q4_K_M 7B 8B local deployment documentation 2026 OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
official model cards Llama 3.2 3B Qwen2.5 7B Phi-4-mini Mistral NeMo 12B license context OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |